Knowledge graph applications for identifying resilient forage systems
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| Format: | Artículo Open Access |
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Wiley
2025
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| author | Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su |
| author_facet | Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su |
| collection | Wiley Open Access |
| contents | Knowledge graph applications for identifying resilient forage systems Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su Agricultural & Environmental Letters AbstractKnowledge Graphs organize and connect disparate data for integrating information in a user‐friendly interface for recommendations and applications. This analytical tool for supporting data interrogation has not been widely applied in agronomy. This article focuses on Knowledge Graph applicability and specifically the utility of the recently released Esri ArcGIS Knowledge platform for identifying system resilience using a community‐driven database (Forage Data Hub; 52,997 entries from 108 unique locations over 51 years) comprising legacy datasets encompassing multiple temporal and spatial scales. Overall, perennial systems had greater drought risk resilience estimates (DRRE) than annuals, with alfalfa (Medicago sativa) having a “very high” DRRE across ecoregions. Knowledge Graphs provided information on how geography and agronomic systems interact to impact resilience. Results can be used to design agricultural systems within specific geographic locations with greater resilience and stability in the face of a changing climate per geographic region. 10.1002/ael2.70021 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| doi_str_mv | 10.1002/ael2.70021 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_ael2_70021 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Knowledge graph applications for identifying resilient forage systems Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su Agricultural & Environmental Letters Knowledge graph applications for identifying resilient forage systems Amanda J. Ashworth Alicia Tyson Timothy Propst Logan Marshall Chengkai Li Jeff J. Volenec Marisol T. Berti Valentin Picasso Jamie L. Foster Jianzhong Su Agricultural & Environmental Letters AbstractKnowledge Graphs organize and connect disparate data for integrating information in a user‐friendly interface for recommendations and applications. This analytical tool for supporting data interrogation has not been widely applied in agronomy. This article focuses on Knowledge Graph applicability and specifically the utility of the recently released Esri ArcGIS Knowledge platform for identifying system resilience using a community‐driven database (Forage Data Hub; 52,997 entries from 108 unique locations over 51 years) comprising legacy datasets encompassing multiple temporal and spatial scales. Overall, perennial systems had greater drought risk resilience estimates (DRRE) than annuals, with alfalfa (Medicago sativa) having a “very high” DRRE across ecoregions. Knowledge Graphs provided information on how geography and agronomic systems interact to impact resilience. Results can be used to design agricultural systems within specific geographic locations with greater resilience and stability in the face of a changing climate per geographic region. 10.1002/ael2.70021 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| title | Knowledge graph applications for identifying resilient forage systems |
| topic | Agricultural & Environmental Letters |
| url | https://acsess.onlinelibrary.wiley.com/doi/10.1002/ael2.70021 |